Pokročilá detekce problémů a anomálií pomocí Zabbixu

The course is fully dedicated to problem detection, from creating simple triggers to using new long-term analytics functions. Best practices would be demonstrated, like avoiding problem flapping and avoiding duplicated problems using Trigger dependencies or event correlations based on tags. It would also cover Zabbix tuning with detecting the most sensitive triggers and defining custom thresholds using context based user macros.

The course aims to show how to find the most appropriate way of detecting problems under different scenarios.